Given measured data as estimated frequency responses of a quasi-linear system, there is a variety of system identification methods that identify a state-space model that gives good correlation to the data. Such methods are the N4SID and the PolyMAX methods. Using these methods, a key problem is to select the proper model order. In this work we investigate a method for the automatic detection of proper model order. The method is based on the statistical evaluation of an ensemble of state-space models all identified from the same basic set of frequency response functions, but with different realizations based on a bootstrapping scheme. We apply the method to real test data.

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BibTeX @conference{Yaghoubi2012,author={Yaghoubi, Vahid and Abrahamsson, Thomas},title={Automated modal analysis based on frequency response function estimates},booktitle={Conference Proceedings of the Society for Experimental Mechanics Series. 30th IMAC, A Conference on Structural Dynamics, Jacksonville, 30 January-2 February 2012},isbn={978-146142424-6},pages={9-18},abstract={Given measured data as estimated frequency responses of a quasi-linear system, there is a variety of system identification methods that identify a state-space model that gives good correlation to the data. Such methods are the N4SID and the PolyMAX methods. Using these methods, a key problem is to select the proper model order. In this work we investigate a method for the automatic detection of proper model order. The method is based on the statistical evaluation of an ensemble of state-space models all identified from the same basic set of frequency response functions, but with different realizations based on a bootstrapping scheme. We apply the method to real test data.},year={2012},keywords={Automatic Detection, Bootstrapping scheme, Frequency response functions, Good correlations, PolyMAX method, Proper models, Quasilinear system, State-space models, Statistical evaluation, System identification methods, Test data, Linear systems, Modal analysis, Structural dynamics, Frequency response },}

RefWorks RT Conference ProceedingsSR ElectronicID 163508A1 Yaghoubi, VahidA1 Abrahamsson, ThomasT1 Automated modal analysis based on frequency response function estimatesYR 2012T2 Conference Proceedings of the Society for Experimental Mechanics Series. 30th IMAC, A Conference on Structural Dynamics, Jacksonville, 30 January-2 February 2012SN 978-146142424-6SP 9AB Given measured data as estimated frequency responses of a quasi-linear system, there is a variety of system identification methods that identify a state-space model that gives good correlation to the data. Such methods are the N4SID and the PolyMAX methods. Using these methods, a key problem is to select the proper model order. In this work we investigate a method for the automatic detection of proper model order. The method is based on the statistical evaluation of an ensemble of state-space models all identified from the same basic set of frequency response functions, but with different realizations based on a bootstrapping scheme. We apply the method to real test data.LA engDO 10.1007/978-1-4614-2425-3_2LK http://dx.doi.org/10.1007/978-1-4614-2425-3_2OL 30